1,739 karma · joined April 20, 2025
But yeah, I agree with your sentiment, it's pretty weird.
Not that I mean the percentages factually, more like an order of magnitude.
But my point is, in terms of "natural ability", I don't believe there is that much of a gap among top performers, but that things like work ethic and determination, and also some luck in environments, is what ends up setting them apart.
That's why I think they're worth praising: it's not just a spin of genetic roulette (unless one believes every single attribute about us is genetic, I guess).
Modeling is notorious for its negative impact on models' health.
They absolutely work for it, and in one of the most toxic work environments.
Even among the people who have similar "luck" in that respect, some still stand out. The people we think of as elite performers aren't just elite relative to the 99% of us. They're also elite within the top 1% that makes up their field: they're dominant even among the people who should be their peers.
Lost access to it but today that wallet would be worth over $10.
Must be pretty quiet all year 'round then.
It's one thing to provide bad service, but these kinds of incidents just lack any kind of humanity.
How's that working out for you in the context of working with AI tools? Do you feel like it's helping you make better use of them? Or keeping your mind sharp?
I've been considering getting some books on core topics I haven't (re)visited in a long time to see if not having to write as much code anymore instead gives me time to (re)learn more and accelerate.
It's just hard to imagine that's anything close to what Nintendo wants users to experience, but I guess they need the money.
I don't really want to turn on age-based filters (to the point that I've never investigated if they even exist) but at this rate, there's hardly anything worth looking at in the recent feed.
> because there are innate mechanisms which process this data continuously and extract new meanings from the same data
To me, these statements strongly contradict each other, but I also really do not care enough to debate it.
It was not meant as literally sitting at a screen with audio/video for 16 hours a day.
A human does need 16ish hours per day of audio/video content for several years to learn the alphabet.
I was only 9 the first time it happened but even back then it felt really weird.
Unfortunately, the study that showed this used the same medicine my dog had been on, and since it was for epilepsy, I can totally believe that whether I thought it worked had no connection to its effectiveness.
They'd only have been 10 in 1999 when cell phones were pretty ubiquitous among adults. I'd say they were basically past it already.
I was born ten years earlier and I'd agree that the internet is likely the biggest change in my lifespan, but I'm not sure I'd say it was as sudden as the past 2 years of AI.